Table 1. Characteristics of systems biology approaches to translational readthrough.
Method | Approach | Potential false positives | Shortcomings and potential false negatives |
---|---|---|---|
Phylogenetic approaches | In silico identification of extensions with high coding potential (evaluation based on codon substitutions) and high sequence conservation from pre-aligned genomes | Conserved 3′ elements; method not specific for readthrough; genes not expressed; method requires experimental validation of candidates | Recent evolutionary acquisitions and very short extensions are not detected; lack of information on tissue specificity |
Ribosome profiling | Analysis of extensions with ribosomal footprint and reading-frame periodicity from translating ribosomes | Extensions with ribosomal footprint but without reading-frame periodicity | Identification might be difficult in extensions shorter than footprint; genes not expressed in tissue sample |
In silico regression model | In silico SCC regression model based on experimental dual reporter analyses | Annotation of premature stop codons as natural stop codons in database; no information on expression levels; experimental validation required | Method does not detect TR depending on more distant cis-elements |
The three approaches to the identification of TR discussed in this review have their specific characteristics. Potential false positives/negatives are listed for each systems biology approach.